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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Jan 23, 2020
Date Accepted: May 25, 2020

The final, peer-reviewed published version of this preprint can be found here:

Web-Based Training for Nurses on Shared Decision Making and Prenatal Screening for Down Syndrome: Protocol for a Randomized Controlled Trial

Poulin Herron A, Agbadjé TT, Côté M, Djade CD, Roch G, François R, Légaré F

Web-Based Training for Nurses on Shared Decision Making and Prenatal Screening for Down Syndrome: Protocol for a Randomized Controlled Trial

JMIR Res Protoc 2020;9(10):e17878

DOI: 10.2196/17878

PMID: 33118955

PMCID: 7661244

Web-based Training for Nurses on Shared Decision-Making and Prenatal Screening for Down Syndrome: Protocol for a Randomized Control Trial

  • Alex Poulin Herron; 
  • Titilayo Tatiana Agbadjé; 
  • Mélissa Côté; 
  • Codjo-Djignefa Djade; 
  • Geneviève Roch; 
  • Rousseau François; 
  • France Légaré

ABSTRACT

Background:

Pregnant women have difficulty choosing from amongst the wide variety of available prenatal screening options. To help pregnant women and their partners make informed decisions based on their values, needs, and preferences, a decision aid (DA) and a web-based shared decision making (SDM) training program for health professionals have been developed. In Canada, nurses have responsibilities regarding maternity care and thus the potential to do decision coaching on prenatal screening. However, there is a gap of knowledge concerning the effectiveness of SDM interventions in this area of nursing practice.

Objective:

This study aims to assess the impact of an SDM training program on nurses’ intention to use a decision aid for prenatal screening as well as their knowledge and overall appreciation of the training.

Methods:

This is a two-arm parallel randomized trial. Nurses working with pregnant women from the province of Quebec, and speaking in French, will be recruited online by a private survey firm. They will be randomly allocated (1:1 ratio) to either an experimental group, which will complete a web-based SDM training program for prenatal screening, or to a control group, which will complete a web-based training program focusing on prenatal screening alone. The experimental intervention consists of a three hour web-based and fully automated training activity hosted on the University Laval platform and has four modules: 1) SDM; 2) Down syndrome prenatal screening; 3) DA; and 4) Communication between healthcare professionals and the patient. For the control group, the topic of SDM in Module 1 has been replaced with “Context and history of prenatal screening” and the topic of DA in Module 3 has been replaced with “Consent in prenatal screening.” In addition to sociodemographic questions using a self-administered questionnaire with closed ended questions, we will assess 1) intention to use a DA in prenatal screening clinical practice; 2) knowledge; 3) satisfaction with the training; 4) acceptability; and 5) perceived usefulness. The randomization will be done by a predetermined sequence and include 36 nurses. Participants and researchers will be blinded. Intention to use DA will be assessed by a Student t test and bivariate and multivariate analysis will be performed to assess knowledge and overall appreciation of the training.

Results:

This study is ongoing and results will be available at the end of 2020.

Conclusions:

This study results will inform on the impact of an SDM training program on nurses’ intention to use a decision aid for prenatal screening as well as their knowledge and overall appreciation of the training. It will also provide feedback on ways to upgrade the SDM training program, if needed. Clinical Trial: ClinicalTrials.gov ID NCT04162288


 Citation

Please cite as:

Poulin Herron A, Agbadjé TT, Côté M, Djade CD, Roch G, François R, Légaré F

Web-Based Training for Nurses on Shared Decision Making and Prenatal Screening for Down Syndrome: Protocol for a Randomized Controlled Trial

JMIR Res Protoc 2020;9(10):e17878

DOI: 10.2196/17878

PMID: 33118955

PMCID: 7661244

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